A Corpus of 21st Century Scots Texts

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Gauld, Ilene

Basic Stats

Total words by this author in corpus - 893
Total unique words used by this author in corpus - 408
Ratio of total words to unique words - 2.189
Tagged as MNA (Mid Northern A) dialect.
Top ten most common words - a, i, the, s, we, tae, an, fit, ma, in,

List of texts in corpus

Ilene Gauld - Piper and Poet
Doric Future (05-09-2020) in Doric (Keith) dialect (MNA), categorised as weans (893 words)

Author word Keyness frequencies

This should list the words that the author uses in a disproportionate manner more often than other writers in the corpus. This may include (a) proper nouns (character names in the author's stories), (b) other words related to the specific subject matter and (c) words specific to the regional dialect.
WordCount Normalised
per million
Keyness
ees9 10,078.3996.435
fit15 16,797.3155.940
i29 32,474.8051.787
hiv10 11,198.2148.334
sash3 3,359.4635.653
tractor4 4,479.2834.563
we19 21,276.6033.334
sean3 3,359.4630.174
magic4 4,479.2828.389
dunlop3 3,359.4628.352
hubby2 2,239.6424.434
camouflage2 2,239.6422.709
macintyre2 2,239.6421.526
tartan3 3,359.4621.132
well5 5,599.1019.821
canna5 5,599.1019.235
rose3 3,359.4618.555
fairies2 2,239.6418.257
ma15 16,797.3118.225
bob3 3,359.4618.080
invited2 2,239.6417.835
special3 3,359.4617.812
beets2 2,239.6415.961
dress2 2,239.6415.720
caad3 3,359.4615.597
gings2 2,239.6415.493
the27 30,235.1615.341
dad3 3,359.4615.142
s19 21,276.6015.043
brilliant2 2,239.6414.352
kilt2 2,239.6414.035
lobby2 2,239.6412.750
breeks2 2,239.6412.537
fin5 5,599.1012.324
abody2 2,239.6411.382
d7 7,838.7510.545
us6 6,718.9210.324
these3 3,359.468.830
flat2 2,239.648.811
a42 47,032.478.390
zyne4 4,479.28nan
so5 5,599.108.526
them6 6,718.928.249
ll5 5,599.108.073
mine2 2,239.648.046
bade2 2,239.647.923
off2 2,239.647.923
doric2 2,239.647.363
sang2 2,239.646.903
dinna3 3,359.466.796
jist5 5,599.106.067
bonnie2 2,239.645.907
wird2 2,239.645.743
lang4 4,479.285.740
see5 5,599.105.395
ee2 2,239.644.949
am2 2,239.644.937
ken4 4,479.284.414
m4 4,479.284.384
get4 4,479.284.171
ve3 3,359.464.102
hear2 2,239.644.019
zynes3 3,359.46nan
will3 3,359.463.772
kin2 2,239.643.708
name2 2,239.643.596
which2 2,239.643.465
has2 2,239.643.362
lik2 2,239.643.162
only2 2,239.642.982
bairns2 2,239.642.921
o12 13,437.852.572
wir2 2,239.642.486
his2 2,239.642.442
been4 4,479.282.409
an16 17,917.132.236
didna2 2,239.642.227
telt2 2,239.642.218
he12 13,437.852.019
syne2 2,239.642.012
auld3 3,359.461.942
een2 2,239.641.833
for8 8,958.571.513
is3 3,359.461.380
my2 2,239.641.356
pit2 2,239.641.332
as3 3,359.461.310
say2 2,239.641.300
noo3 3,359.461.280
or5 5,599.101.259
oot2 2,239.640.996
ye3 3,359.460.787
but2 2,239.640.765
day3 3,359.460.751
nae4 4,479.280.719
weel2 2,239.640.718
afore2 2,239.640.701
this2 2,239.640.690
up5 5,599.100.644
her3 3,359.460.625
to2 2,239.640.554
that11 12,318.030.513
said2 2,239.640.424
on7 7,838.750.387
me2 2,239.640.337
tinkerbell2 2,239.64nan
tae17 19,036.950.246
bit3 3,359.460.198
there3 3,359.460.194
ae2 2,239.640.170
at5 5,599.100.095
wis10 11,198.210.094
yer2 2,239.640.094
time2 2,239.640.092
in13 14,557.670.063
him2 2,239.640.060
be5 5,599.100.055
it10 11,198.210.031
she5 5,599.100.031
wi7 7,838.750.018
back2 2,239.640.015
wee2 2,239.640.009
and6 6,718.920.000